CN108614761A - Wisdom application system server performance demand computational methods based on business model - Google Patents
Wisdom application system server performance demand computational methods based on business model Download PDFInfo
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- CN108614761A CN108614761A CN201810219101.6A CN201810219101A CN108614761A CN 108614761 A CN108614761 A CN 108614761A CN 201810219101 A CN201810219101 A CN 201810219101A CN 108614761 A CN108614761 A CN 108614761A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3447—Performance evaluation by modeling
Abstract
A kind of wisdom application system server performance demand computational methods based on business model, including step are claimed in the present invention：Its business function, different function sets is divided into according to the relevance of function by the business function for analyzing wisdom application system；According to every business function of system, analysis wisdom application system realize the specific steps of the business function, system data information and user instruction transmittance process；Analysis based on business function Yu business realizing step adds the description to the transmittance process of system data information and user instruction, establishes wisdom application system business model on wisdom application system basic framework；Statistical parameter finally combines the parameter of wisdom application system business model and statistics, establishes wisdom application system server performance computation model so that the configuration of wisdom application system server performance is more scientific and reasonable in the engineering design of smart city.
Description
Technical field
The invention belongs to smart city engineering design technology more particularly to a kind of wisdom application systems based on business model
Server performance demand computational methods.
Background technology
Fast development with the generation informations communication technology such as Internet of Things, cloud computing and deep application, the city in China
It manages after the digital city developing stage of experience relative brevity, the city management new era of wisdom will be marched toward.In a new generation
Under the background of information technology accelerated development, the technological means such as Internet of Things, cloud computing, optical-fiber network, mobile Internet are fully used, it is right
The movable various demands such as public service, social management, industry operation make intelligent response, build the intelligent ring of urban development
Border, face the future the completely new urban morphology of structure.Smart city is information system disperseing in city, doing things in his own way, object
Networked system integrates, and is promoted to an organic whole with preferable cooperative ability and ability of regulation and control, is to traditional sense
The distillation and leap of upper urban informationization.
The function and target of smart city need to realize by wisdom application system.And wisdom application, it is to after numerous
The integrated of platform data processing and service is achieved.And back-end data and service, by the Intellisense network for coming from city
Etc. various communal facilitys.Communal facility mainly has computing resource, Internet resources, storage resource, safety devices etc..
Under cloud pattern, using virtualization technology, by building cloud platform, communal facility resource is virtualized
Processing forms a virtualization resource pond, using cloud service technology, virtual resource is needed according to business to be assembled into independent operating
Server resource as service externally provide.Cloud platform and storage region provide the cores such as payment, video, position and data storage
Central server ability serves multiple systems and project, to reduce overlapping development cost and development cycle.
In the engineering construction of smart city, the hardware components such as server, storage device of wisdom application system are in smart cloud
It is unified in platform to consider, there is higher open and expansibility.But the processing capacity of its corresponding all kinds of server
Reasonable disposition never has reference frame.And in the planning of smart city engineering design, application for developing, how to configure each application
The processing capacity of system server, can be related to effectively complete engineering construction target, and save Construction Party's investment.
Invention content
Present invention seek to address that the above problem of the prior art.Propose it is a kind of saved resource and construction fund based on
The wisdom application system server performance demand computational methods of business model.Technical scheme is as follows：
A kind of wisdom application system server performance demand computational methods based on business model comprising following steps：
1) its business function, is divided into not by the business function for analyzing wisdom application system according to the relevance of business function
Same business function set；
2) the business function set that function interdependency divides is pressed according to step 1), analysis wisdom application system realizes the business
The specific steps of function, the transmittance process of system data information and user instruction；
3) analysis based on business function Yu business realizing step, on wisdom application system basic framework, addition pair
Wisdom application system business model is established in the description of the transmittance process of system data information and user instruction；
4) server that number of users N, user's operation coincidence M, the service operation for single time of statistics wisdom application system account for
TPC-C transactions P, server self performance expense F and redundancy coefficients R；
5) parameter for combining the wisdom application system business model and step 4) statistics of step 3), establishes wisdom application system
Server performance computation model：Server performance demand TPM=(N × M × P+F) × R.
Further, the business function of the step 1) analysis wisdom application system, according to the relevance of function by its industry
Business function is divided into different function sets, specifically includes:
According to the relevance of function, as soon as function is made of several subfunctions, these subfunctions have relevance.
Further, the step 2) presses the business function set that function interdependency divides, and analysis wisdom application system is real
The now transmittance process of the specific steps of the business function, system data information and user instruction, including：List wisdom application system
Realize that the specific steps of the business function, the transmittance process of system data information and user instruction, wisdom application system handle certain
When item business and data command, in the occupancy for arriving server performance involved in processing procedure.
Further, analysis of the step 3) based on business function Yu business realizing step, in wisdom application system base
On this framework, the description to the transmittance process of system data information and user instruction is added, wisdom application system business is established
Model, including：
The business function and business realizing step for analyzing wisdom application system, by the functional structure of wisdom application system, industry
The transmittance process of pragmatic existing step, system data information and user instruction is combined with wisdom application system structure composed, is being
The transmission and expression of data message stream on this basic framework of composed structure of uniting needed for description support wisdom application system running
Process, to establish wisdom application system business model.
Further, the number of users N, user's operation coincidence M of step 4) the statistics wisdom application system, single business
Server TPC-C transactions P, server self performance expense F and the redundancy coefficients R accounted for is operated, including：
The service application of wisdom application system belongs to the application category of typical online transaction OLTP in smart city,
In the online transaction ability of assessment computer server system, mainly with standard testing value TPC-C, that is, tpmC of TPC tissues
Value is foundation.When configuring wisdom application system server performance, when using user concurrent rate as peak value, interior user per minute access with
Using system, the TPC-C transactions of required service device processing are indicated with unit tpmC；Number of users N：When system designs, institute
The maximum number of user or design capacity of consideration；User's operation coincidence M per minute:It is per minute it is interior system is just accessed or
Operation, causes system server the percentage of the user occupancy family sum N of reality " pressure ", coincidence M is by actual
User's investigation is estimated；The server TPC-C transactions P that service operation for single time accounts for：User or system execute certain operation
When, the TPC-C transactions of required service device processing, this numerical value passes through plant equipment gain of parameter；Server self performance is opened
Sell F：The TPC-C transactions that server self-operating is consumed；In addition certain redundancy R is considered further that, depending on type of server
It is fixed.
Further, the step 5) combines wisdom application system business model and relevant parameter, establishes wisdom application system
System server performance computation model：Server performance demand TPM=(N × M × P+F) × R, including：
According to the number of users N and user's operation coincidence M, the peak user number of operation wisdom application system is calculated,
In conjunction with the server TPC-C transactions P that user's service operation for single time accounts for, wisdom application system can be calculated and using
User reaches the required traffic handing capacity of server in the case of peak value, finally considers that certain own overhead and system are superfluous
It is remaining, obtain server performance demand computation model TPM=(N × M × P+F) × R.
It advantages of the present invention and has the beneficial effect that：
Wisdom application system server performance demand computational methods proposed by the present invention are carrying out smart city projects
When configuring the server of some wisdom application system according to performance requirement in design, the business of the wisdom application system is analyzed first
Function and business realizing step, establish the business model of wisdom application system, next counts involved number of users, use in the system
Family operates the parameters such as coincidence and user's service operation for single time required service device TPC-C transactions, then the industry of wisdom application
Business model is combined with above-mentioned parameter, establishes wisdom application system server performance demand computation model, calculate in table form,
Statistics realizes the server performance needed for various functions.Compared to by project planner's engineering experience configuration server
Can, present example provides wisdom application system server performance demand computational methods, passes through wisdom application system business mould
Models coupling parameter is established wisdom application system server performance demand computation model, passes through the calculating mould by the analysis of type
Wisdom application system server allocation plan obtained by type can more reflect the performance requirement of wisdom application system server.Therefore,
The present invention can obtain the server resource in smart city the most reasonably to apply, save resource and construction fund.
Description of the drawings
Fig. 1 is that the present invention provides wisdom application system server performance demand calculating of the preferred embodiment based on business model
Method flow schematic diagram；
Fig. 2 is intelligent pipe well monitoring management system business model figure.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, detailed
Carefully describe.Described embodiment is only a part of the embodiment of the present invention.
The present invention solve above-mentioned technical problem technical solution be：
As shown in Figure 1：Fig. 1 is that the present invention realizes wisdom application system server performance demand computational methods flow chart, packet
It includes：
Step 1: analyze the business function of certain wisdom pipe well monitoring management system (phase), according to the relevance of its function,
Its function is divided into a function collection, as follows：
Wisdom pipe well monitoring management system (phase) well lid status monitoring function collection：
Identification：Classification Management is carried out to information such as the ownership unit of well lid, material types by RFID tag；
Location management：By building Intellisense platform and GIS GIS-Geographic Information System, the position of well lid is determined
Position；
Authentication management：By matching and rule settings, well lid is reached in the maintenance personnel for carrying well lid special hand-held terminal
When neighbouring, will not all it alarm any operation of well lid；
Workflow management：Workflow management is carried out to alarm well lid, it is ensured that verification, processing and the elimination of warning message；
Physical states monitoring:By the attitude transducer built in well lid label, well lid is started, is translated, wide-angle is shaken
The improper posture such as dynamic, which changes, carries out Realtime Alerts.
Step 2: according to every business function of wisdom pipe well monitoring management system well lid status monitoring function collection, analysis
The specific steps of wisdom application system realization business function, the transmittance process of system data information and user instruction.
In this step, identification, location management, authentication management, flow management function belong to pipe well physical states monitoring
The subfunction of function need to only carry out physical states monitoring Business Process Analysis, as follows：
1) front end sensors perception well lid such as moves, hits, tilting, starting at the improper posture change situation；
2) well lid wireless module sends corresponding warning message and is sent to cloud platform through wireless base station, will report after processing
Alert information is sent to pipe well monitoring center and responsible person concerned or administrative staff's (identification, position identification)；
3) monitoring center administrative staff receive the alarm report of somewhere well lid, start alarming and managing flow, maintenance personnel
Scene is rushed for find to confirm alarm condition (authentication management, workflow management)；
4) maintenance personnel handles the problem of well lid occurs, and monitoring center removes alarm (authentication management, workflow management).
Step 3: the analysis based on business function Yu business realizing step adds on wisdom application system basic framework
Wisdom application system business model is established in the description for adding the transmittance process to system data information and user instruction.
According to business function and business realizing process analysis, intelligent pipe well monitoring management system business model is as shown in Fig. 2.
By business model it is found that in realizing physical states monitoring function course, Core server execute permit business and
Monitoring business, short message server, which executes, occurs warning message business, and database server executes inquiry operation and write operation.
Step 4: the service that number of users N, user's operation coincidence M, the service operation for single time of statistics wisdom application system account for
Device TPC-C transactions P, server self performance expense F and redundancy coefficients R, including：
By practical investigation and relevant device data is searched, the state of 1200 well lids of current period engineering pair is monitored, in advance
It is 0.1% to count well lid state per minute to change coincidence, i.e., it is per minute there are 1.2 well lid states to change (1.2 only represent meter
Count value, does not represent real well lid).Administrator's account quantity is 10, and the coincidence that administrator operates back-end platform is 50%.
It is expected that administrator's write operation and inquiry operation number per minute is respectively 10 times.
Database server runs each write operation and accounts for 10 TPC-C transactions, runs each inquiry operation and accounts for 30
TPC-C transactions；
Core server operation accounts for 10 TPC-C transactions per pipe well permit business, runs and is accounted for per pipe well monitoring system
10 TPC-C transactions；
Short message server sends every short message and accounts for 6 TPC-C transactions；
Server own system expense 2000tpmC；
Core server, short message server redundancy coefficient are 1.5, and database server redundancy coefficient is 3.
Step 5: in conjunction with wisdom application system business model and relevant parameter, wisdom application system server performance is established
Computation model：Server performance demand TPM=(N × M × P+F) × R.
In this step, in conjunction with wisdom pipe well monitoring management system business model, in wisdom pipe well monitoring management system, according to
Server performance demand computation model TPM=(N × M × P+F) × R, obtains the performance requirement computation model of database server
For：
| Serial number | Project | Calculating parameter | Data volume |
| 1 | Administrator's account number | 10 | |
| 2 | Administrator operates coincidence | 50% | |
| 3 | Administrator's write operation number per minute | 10 | |
| 4 | Administrator's inquiry operation number per minute | 10 | |
| 5 | Server runs the TPC-C transactions that each write operation accounts for | 10 | |
| 6 | Server runs the TPC-C transactions that each inquiry operation accounts for | 30 | |
| 7 | Server basic handling ability need (tpmC) | 2000 | |
| 8 | Other expenses (tpmC) of server | 2000 | |
| 9 | Server system redundancy coefficient | 3 | |
| 10 | Database server processes ability need (tpmC) | 12000 |
The performance requirement computation model of Core server is：
| Serial number | Project | Calculating parameter | Data volume |
| 1 | Administrator's account number | 10 | |
| 2 | Administrator operates coincidence | 50% | |
| 3 | Administrator's write operation number per minute | 10 | |
| 4 | Administrator's inquiry operation number per minute | 10 | |
| 5 | The TPC-C transactions that server operation is accounted for per pipe well permit business | 10 | |
| 6 | The TPC-C transactions that server operation is accounted for per pipe well monitoring system | 10 | |
| 7 | Server basic handling ability need (tpmC) | 1000 | |
| 8 | Other expenses (tpmC) of server | 2000 | |
| 9 | Server system redundancy coefficient | 1.5 | |
| 10 | Core server processing capability requirements (tpmC) | 4500 |
The performance requirement computation model of short message server is：
In conclusion wisdom pipe well monitoring management system server performance demand is as follows：
| Serial number | Classification | Processing capability requirements (tpmc) |
| 1 | Database server | 12000 |
| 2 | Core server | 4500 |
| 3 | Short message server | 3011 |
The above embodiment is interpreted as being merely to illustrate the present invention rather than limit the scope of the invention.
After the content for having read the record of the present invention, technical staff can make various changes or modifications the present invention, these equivalent changes
Change and modification equally falls into the scope of the claims in the present invention.
Claims (6)
1. a kind of wisdom application system server performance demand computational methods based on business model, which is characterized in that including with
Lower step：
1) its business function, is divided into different by the business function for analyzing wisdom application system according to the relevance of business function
Business function set；
2) the business function set that function interdependency divides is pressed according to step 1), analysis wisdom application system realizes the business function
Specific steps, system data information and user instruction transmittance process；
3) analysis based on business function Yu business realizing step is added on wisdom application system basic framework to system
Wisdom application system business model is established in the description of the transmittance process of data information and user instruction；
4) the server TPC-C things that number of users N, user's operation coincidence M, the service operation for single time of statistics wisdom application system account for
Quantity of being engaged in P, server self performance expense F and redundancy coefficients R；
5) parameter for combining the wisdom application system business model and step 4) statistics of step 3), establishes wisdom application system service
Device performance computation model：Server performance demand TPM=(N × M × P+F) × R.
2. the wisdom application system server performance demand computational methods according to claim 1 based on business model,
It is characterized in that, the business function of step 1) the analysis wisdom application system draws its business function according to the relevance of function
It is divided into different function sets, specifically includes:
According to the relevance of function, as soon as function is made of several subfunctions, these subfunctions have relevance, by these
Subfunction is organized into a set.
3. the wisdom application system server performance demand computational methods according to claim 1 based on business model,
It is characterized in that, step 2) the analysis wisdom application system realizes specific steps, system data information and the use of the business function
The transmittance process of family instruction, including：Specific steps when wisdom application system completes the business function, system data are listed in detail
The transmittance process of information and user instruction in wisdom application system, a certain business of wisdom application system processing or data command
When, in the occupancy for arriving server performance involved in processing procedure.
4. the wisdom application system server performance demand computational methods according to claim 1 based on business model,
It is characterized in that, analysis of the step 3) based on business function Yu business realizing step adds on wisdom application basic framework
Wisdom application system business model is established in the description for adding the transmittance process to system data information and user instruction, including：
By analyzing the business function and business realizing step of wisdom application system, by the functional structure of wisdom application system, industry
The transmittance process of pragmatic existing step, system data information and user instruction is combined with wisdom application system structure composed, is being
The transmission and expression of data message stream on this basic framework of composed structure of uniting needed for description support wisdom application system running
Process, to establish wisdom application system business model.
5. the wisdom application system server performance demand computational methods according to claim 1 based on business model,
It is characterized in that, the server that number of users N, user's operation coincidence M, the service operation for single time of the step 4) statistical system account for
TPC-C transactions P and server self performance expense F and redundancy coefficients R, including：
The service application of wisdom application system belongs to the application category of typical online transaction OLTP in smart city, is commenting
When estimating the online transaction ability of computer server system, it is with the TPC standard testing value TPC-C, that is, tpmC values organized mainly
Foundation.When configuring wisdom application system server performance, when using user concurrent rate as peak value, interior user per minute accesses and uses
System, the TPC-C transactions of required service device processing, is indicated with unit tpmC；Number of users N：When system designs, considered
Maximum number of user or design capacity；User's operation coincidence M per minute:It is per minute interior system is just accessed or grasped
Make, it is by actual use that the percentage of the user occupancy family sum N of reality " pressure ", coincidence M are caused to system server
Family investigation is estimated；The server TPC-C transactions P that service operation for single time accounts for：When user or system execute certain operation,
The TPC-C transactions of required service device processing, this numerical value pass through plant equipment gain of parameter；Server self performance expense F：
The TPC-C transactions that server self-operating is consumed；In addition certain redundancy R is considered further that, depending on type of server.
6. the wisdom application system server performance demand computational methods according to claim 1 based on business model,
It is characterized in that, the step 5) combines wisdom application system business model and relevant parameter, establishes wisdom application system server
Performance computation model:Server performance demand TPM=(N × M × P+F) × R, including：
According to the number of users N and user's operation coincidence M, the peak user number of operation wisdom application system is calculated, then is tied
The server TPC-C transactions P that family service operation for single time accounts for are shared, wisdom application system can be calculated using user
Reach the required traffic handing capacity of server in the case of peak value, finally consider certain own overhead and system redundancy,
Obtain server performance demand computation model TPM=(N × M × P+F) × R.
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